Accounting Professor: Teaching Lead & UG Course Director

Accounting Professor: Teaching Lead & UG Course Director

Full-Time 55000 - 65000 £ / year (est.) Home office (partial)
University Of Nottingham

At a Glance

  • Tasks: Lead the BSc Accountancy programme and teach ICAEW-accredited modules.
  • Company: Nottingham University Business School, a leader in professional education.
  • Benefits: Hybrid working, ongoing professional development, and collaboration with industry leaders.
  • Other info: Join a vibrant academic community with excellent networking opportunities.
  • Why this job: Shape future accountants and make a real impact in education.
  • Qualifications: Experience in accounting and a passion for teaching.

The predicted salary is between 55000 - 65000 £ per year.

Nottingham University Business School invites applications for an Associate Professor in Accounting (Teaching Focused) and UG Accountancy Course Director.

The role leads the BSc Accountancy programme, drives curriculum development, and partners with Pw C and ICAEW to advance professional education.

You will teach ICAEW-accredited taxation modules, support accreditation, and represent the School in national and international networks.

Hybrid working and ongoing professional development are offered.

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Accounting Professor: Teaching Lead & UG Course Director employer: University Of Nottingham

The University of Nottingham is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. Employees benefit from flexible working hours, access to health facilities, and a generous holiday allowance, making it an ideal place for those seeking meaningful part-time employment while contributing to a vibrant academic community.

University Of Nottingham

Contact Details:

University Of Nottingham Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Accounting Professor: Teaching Lead & UG Course Director

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We think you need these skills to ace Accounting Professor: Teaching Lead & UG Course Director

Curriculum Development
Teaching Skills
Taxation Knowledge
Accreditation Support
Partnership Development
Professional Education Advancement
Networking Skills

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at University Of Nottingham, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at University Of Nottingham

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

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Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

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